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Computer Vision
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Analysis
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Image Retrieval
119 directly classified papers
Papers per year
2006: 1
2007: 1
2011: 1
2013: 7
2014: 3
2015: 10
2016: 3
2017: 9
2018: 5
2019: 10
2020: 15
2021: 10
2022: 8
2023: 17
2024: 12
2025: 6
2026: 1
Papers
Deep Metric Learning to Rank
CVPR 2019
Stochastic Class-Based Hard Example Mining for Deep Metric Learning
CVPR 2019
Explore-Exploit Graph Traversal for Image Retrieval
CVPR 2019
Angular Triplet-Center Loss for Multi-View 3D Shape Retrieval
AAAI 2019
Learning Attribute Representations With Localization for Flexible Fashion Search
CVPR 2018
Local Descriptors Optimized for Average Precision
CVPR 2018
A Pose-Sensitive Embedding for Person Re-Identification With Expanded Cross Neighborhood Re-Ranking
CVPR 2018
SketchMate: Deep Hashing for Million-Scale Human Sketch Retrieval
CVPR 2018
Learning Deep Sketch Abstraction
CVPR 2018
Unsupervised Part Learning for Visual Recognition
CVPR 2017
Deep Supervised Hashing with Nonlinear Projections
IJCAI 2017
Asymmetric Feature Maps With Application to Sketch Based Retrieval
CVPR 2017
Learned Contextual Feature Reweighting for Image Geo-Localization
CVPR 2017
Fried Binary Embedding for High-Dimensional Visual Features
CVPR 2017
Cross-View Image Matching for Geo-Localization in Urban Environments
CVPR 2017
Binarized Mode Seeking for Scalable Visual Pattern Discovery
CVPR 2017
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks
CVPR 2017
Deep Metric Learning via Facility Location
CVPR 2017
NetVLAD: CNN Architecture for Weakly Supervised Place Recognition
CVPR 2016
Learning Deep Structure-Preserving Image-Text Embeddings
CVPR 2016
Fast Training of Triplet-Based Deep Binary Embedding Networks
CVPR 2016
Dataset Fingerprints: Exploring Image Collections Through Data Mining
CVPR 2015
Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction
ICCV 2015
Multi-View Complementary Hash Tables for Nearest Neighbor Search
ICCV 2015
3D Deep Shape Descriptor
CVPR 2015
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